Salary
≈ $33k – $83k per year (Estimated)
Location
Hybrid (Lisbon, Portugal)
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 16, 2026.
Overview
Company
Impact
Profile match
Arrow Global is a leading vertically integrated alternative asset manager specialising in private credit and real estate.
Backed by Omnes Capital
We are seeking highly skilled and experienced Data Stewards to join a newly formed group concentrating on Data. The primary focus of the role will be to serve as a ‘good steward’ of the data by documenting the journey of it from source to target and all transformations in between. The Data Steward will act as a bridge between the business and the technical team, helping to establish standards, ownership, and trust in our data assets. Ultimately, this is a key role that helps us manage and exploit data as an asset.
Key Responsibilities
- Complete and maintain the group’s Data Catalog
- Document data lineage, transformations and cleansing rules
- Work with Data Engineering to ensure data is handled correctly
- Help define effective Data Quality rules for the data they deal with
- Work with the Business and Data Engineers to help bottom out issues with the data
- Help drive root cause remediation of data issues at the platform/source
- Above all, the Data Steward is expected to serve as a subject-matter expert in the datasets they deal with and serve as the point of contact for them within the team
About you
- Degree in Computer Science, Information Systems, Data Science, or a related field is preferable
- Proven experience in a Data Governance or Data Management program
- Familiarity with data privacy regulations (GDPR, CCPA)
- A background in financial data domains (IBOR/ABOR, transactions, market data, reference data)
- Strong experience within Real Estate, Credit, Banking, or NPL Asset Management
- Resourceful, motivated self-starter with the ability to collaborate across business and technology
- Strong analytical, verbal, and written communication skills
- Ability to acquire a deep understanding of specific datasets and how they flow
- Comfortable working in a fast-paced, evolving environment where processes are still being defined
- Proficiency in SQL is a must. Proficiency in Python is a plus
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